Software Engineer, Systems ML - SW/HW Co-design

Meta; Fremont (CA); On-site; USD 100,000 - 208,000; Full time

Job summary

Join a forward-thinking company as an AI Software Engineer, where you will tackle exciting challenges in AI infrastructure and hardware acceleration. This role involves optimizing intelligent ML systems and collaborating across teams to drive impactful projects. With a focus on innovation, you will leverage your expertise in machine learning, develop methodologies, and mentor fellow engineers. This is an opportunity to contribute to groundbreaking advancements in technology and shape the future of digital experiences.

Benefits

Health Insurance

Equity Options

Flexible Work Hours

Generous Paid Time Off

Retirement Plans

Wellness Programs

Professional Development

Remote Work Options

Parental Leave

Employee Discounts

Qualifications

• Experience in machine learning/deep learning and AI infrastructure.
• Proficiency in C/C++ or Python for AI system development.
• Strong background in performance optimization and hardware acceleration.

Responsibilities

• Apply AI infrastructure and hardware acceleration techniques.
• Drive large efforts across multiple teams.
• Mentor engineers and improve engineering quality.

Skills

Machine Learning

Deep Learning

C/C++ Programming

Python Programming

AI Infrastructure

Performance Optimization

Distributed Systems

Recommendation Models

Education

Bachelor's in Computer Science

Master's in Computer Science

PhD in Computer Science

Tools

PyTorch

GPU Architecture

Machine Learning Frameworks

Job description

Software Engineer, Systems ML - SW/HW Co-design

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer, Systems ML - SW/HW Co-design Responsibilities

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences

Goal setting related to project impact, AI system design, and infrastructure/developer efficiency

Directly or influencing partners to deliver impact through deep, thorough data-driven analysis

Drive large efforts across multiple teams

Define use cases, and develop methodology & benchmarks to evaluate different approaches

Apply in depth knowledge of how the ML infra interacts with the other systems around it

Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design

Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications

A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.

Experience with distributed systems or on-device algorithm development

Experience with recommendation and ranking models

Technical leadership experience

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

US$70.67/hour to US$208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .